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Ritankar Das

Showing results (21-30 of 60) with videos related to

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Annals of Medicine and Surgery (2012)|October 5, 2016
Using electronic health record collected clinical variables to predict medical intensive care unit mortalityJacob Calvert, Qingqing Mao, Jana L Hoffman, et al.
Frontiers in Pediatrics|November 5, 2019
Pediatric Severe Sepsis Prediction Using Machine LearningSidney Le, Jana Hoffman, Christopher Barton, et al.
Computers in Biology and Medicine|April 30, 2019
Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signsChristopher Barton, Uli Chettipally, Yifan Zhou, et al.
The American Journal of the Medical Sciences|January 26, 2022
Mortality, disease progression, and disease burden of acute kidney injury in alcohol use disorder subpopulationJenish Maharjan, Sidney Le, Abigail Green-Saxena, et al.
JGH Open : an Open Access Journal of Gastroenterology and Hepatology|March 31, 2022
Machine learning to predict progression of non-alcoholic fatty liver to non-alcoholic steatohepatitis or fibrosisSina Ghandian, Rahul Thapa, Anurag Garikipati, et al.
Canadian Journal of Kidney Health and Disease|August 11, 2018
Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record DataHamid Mohamadlou, Anna Lynn-Palevsky, Christopher Barton, et al.
JMIR Pediatrics and Parenting|October 30, 2024
Parent-Led Applied Behavior Analysis to Impact Clinical Outcomes for Individuals on the Autism Spectrum: Retrospective Chart ReviewAnurag Garikipati, Madalina Ciobanu, Navan Preet Singh, et al.
Health Policy and Technology|August 9, 2021
Personalized stratification of hospitalization risk amidst COVID-19: A machine learning approachCarson Lam, Jacob Calvert, Anna Siefkas, et al.
Clinical and Applied Thrombosis/Hemostasis : Official Journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis|February 24, 2021
A Machine Learning Approach to Predict Deep Venous Thrombosis Among Hospitalized PatientsLogan Ryan, Samson Mataraso, Anna Siefkas, et al.
Plos One|August 6, 2025
Quality of life in a family-centric applied behavior analysis model: A case series studyMadalina Ciobanu, Gina Barnes, Natalie J Castell, et al.
Pageof 6

Showing results (21-30 of 60) with videos related to

Sort By:
Pageof 6
Annals of Medicine and Surgery (2012)|October 5, 2016
Using electronic health record collected clinical variables to predict medical intensive care unit mortalityJacob Calvert, Qingqing Mao, Jana L Hoffman, et al.
Frontiers in Pediatrics|November 5, 2019
Pediatric Severe Sepsis Prediction Using Machine LearningSidney Le, Jana Hoffman, Christopher Barton, et al.
Computers in Biology and Medicine|April 30, 2019
Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signsChristopher Barton, Uli Chettipally, Yifan Zhou, et al.
The American Journal of the Medical Sciences|January 26, 2022
Mortality, disease progression, and disease burden of acute kidney injury in alcohol use disorder subpopulationJenish Maharjan, Sidney Le, Abigail Green-Saxena, et al.
JGH Open : an Open Access Journal of Gastroenterology and Hepatology|March 31, 2022
Machine learning to predict progression of non-alcoholic fatty liver to non-alcoholic steatohepatitis or fibrosisSina Ghandian, Rahul Thapa, Anurag Garikipati, et al.
Canadian Journal of Kidney Health and Disease|August 11, 2018
Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record DataHamid Mohamadlou, Anna Lynn-Palevsky, Christopher Barton, et al.
JMIR Pediatrics and Parenting|October 30, 2024
Parent-Led Applied Behavior Analysis to Impact Clinical Outcomes for Individuals on the Autism Spectrum: Retrospective Chart ReviewAnurag Garikipati, Madalina Ciobanu, Navan Preet Singh, et al.
Health Policy and Technology|August 9, 2021
Personalized stratification of hospitalization risk amidst COVID-19: A machine learning approachCarson Lam, Jacob Calvert, Anna Siefkas, et al.
Clinical and Applied Thrombosis/Hemostasis : Official Journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis|February 24, 2021
A Machine Learning Approach to Predict Deep Venous Thrombosis Among Hospitalized PatientsLogan Ryan, Samson Mataraso, Anna Siefkas, et al.
Plos One|August 6, 2025
Quality of life in a family-centric applied behavior analysis model: A case series studyMadalina Ciobanu, Gina Barnes, Natalie J Castell, et al.
Pageof 6